Update prostate158.py
Browse files- prostate158.py +3 -9
prostate158.py
CHANGED
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@@ -29,7 +29,6 @@ class Prostate158Dataset(datasets.GeneratorBasedBuilder):
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DEFAULT_CONFIG_NAME = "3d"
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def _info(self):
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# TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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if self.config.name == "2d":
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features = datasets.Features(
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{
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@@ -48,15 +47,9 @@ class Prostate158Dataset(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(
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self,
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) -> List[datasets.SplitGenerator]:
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# TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
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# If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
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# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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downloaded_files = dl_manager.download_and_extract("data.zip")
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return [
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@@ -99,6 +92,7 @@ class Prostate158Dataset(datasets.GeneratorBasedBuilder):
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for i in range(images_data["t2"].shape[2]):
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print(i)
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break
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elif self.config.name == "3d":
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df = pd.read_csv(downloaded_files / f"{split}.csv")
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DEFAULT_CONFIG_NAME = "3d"
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def _info(self):
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if self.config.name == "2d":
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features = datasets.Features(
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{
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)
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def _split_generators(
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self,
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dl_manager: datasets.DownloadManager
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) -> List[datasets.SplitGenerator]:
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downloaded_files = dl_manager.download_and_extract("data.zip")
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return [
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for i in range(images_data["t2"].shape[2]):
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print(i)
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break
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break
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elif self.config.name == "3d":
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df = pd.read_csv(downloaded_files / f"{split}.csv")
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